polishing iris scatter plot

Polished Stylized Scatter Plot

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements through dropdown menus that re-assign the x and y axes. The visualization uses React state management alongside D3 scales and axes, rendering SVG circles with tooltips showing formatted values. Data loads asynchronously via D3’s `csv` utility from a GitHub gist, while axis ticks and labels are generated through custom React components using `scaleLinear` and `extent` for domain calculation. The design incorporates Poppins typography and a teal color scheme for a polished presentation.

Yyejichun@naver.com

Polished Scatter Plot

This example shows an interactive scatter plot of the Iris flower dataset, with dropdown menus to select which measurements appear on the x- and y-axes. The visualization uses React class components in conjunction with D3 scales (scaleLinear, scaleOrdinal) to map sepal and petal dimensions to positions and colors by species. SVG circles render the data points, while D3 transitions animate the points to new positions when the axis selections change. The plot includes formatted axis ticks and tooltips displaying values on hover.

DDaniel Russell-Brain

Scatter Plot with

This interactive scatter plot visualizes the Iris dataset, allowing exploration of relationships between sepal and petal measurements. Users select variables for the X and Y axes from dropdown menus, which dynamically update the scales and axis labels. The visualization uses D3 v5 for scaling, axis rendering, and data mapping, with React managing state and composing SVG elements. Each data point is rendered as an SVG circle with a tooltip showing its value. The code leverages `d3.scaleLinear`, `d3.extent`, and `d3.format` for axis tick formatting, while `AxisBottom` and `AxisLeft` components generate the axes.

FFAN CHI YU(范紀予)

Polished Scatter Plot with menus

This scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through interactive dropdown menus that select which attribute appears on each axis. The visualization uses React state management to update the axes and data points dynamically when menu selections change. SVG circles represent individual flowers, with D3 v7 scaleLinear and extent functions calculating the domains, while custom AxisBottom and AxisLeft components render the ticks using d3 format for abbreviated tick labels. The data loads asynchronously via d3.csv and includes species information.

KKolezhannochka

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements by selecting different attributes for the x and y axes via dropdown menus. The visualization uses React for the component structure and D3’s scaleLinear, extent, and max functions to map data values to pixel coordinates. Each point renders as an SVG circle with a tooltip showing the x-axis value. The chart includes polished axis labels, tick formatting with d3.format, and a clean Poppins font styling.

JJepyagg

color iris scatter plot

This interactive scatter plot displays the Iris flower dataset, letting users explore relationships between sepal and petal measurements across three species types. The React-based interface uses dropdown menus to switch between different measurement axes for both the x and y coordinates, while each species is color-coded via a D3 ordinal scale with a legend. The visualization utilizes d3.scaleLinear for mapping data values to SVG coordinates, d3.csv for loading the dataset from a GitHub-hosted file, and custom axis components built with React and D3’s tick generation. Hovering over a circle reveals its exact measurement value through a tooltip.

GGuitong Li

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting attributes for the X and Y axes via dropdown menus. The visualization uses React for state management, d3.scaleLinear for axis scaling, and d3.extent to compute domains, rendering circles as SVG marks with native tooltips. Axis components display tick marks and labels, while the data is loaded asynchronously via d3.csv and formatted using d3.format for concise tick values.

Jjwlam83

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attribute appears on each axis via dropdown menus. Built with React and D3 v5, the visualization renders SVG circles with tooltips and labeled axes. The code uses `d3.csv` for data loading, `scaleLinear` for scaling, and `extent` to compute domains. Axis components generate tick marks using `xScale.ticks()` and `yScale.ticks()`, with formatting applied through `d3.format` for the x-axis tick labels.

RReinaFeng